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Improved integral cycle fuzziness search method

A technology of whole circle ambiguity and search method, which is applied in the field of satellite navigation and positioning, can solve the problems of large ambiguity search space and low search efficiency, and achieve the effect of improving search efficiency, reducing the number, and reliable and stable solution efficiency

Active Publication Date: 2018-04-27
EAST CHINA UNIV OF TECH
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Problems solved by technology

[0005] The embodiment of the present invention provides an improved integer ambiguity search method to solve the problem of low search efficiency due to the large ambiguity search space in the prior art

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Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] figure 1 It is a flow chart of an improved integer ambiguity search method provided by an embodiment of the present invention. see figure 1 , the method includes:

[0040] Step 1: Determine the original ambiguity floating-point solution and the original variance-covariance matrix according to the data received by the ground receiver, assuming and are respectively the ambiguity floating-point solution and the variance-covariance matrix after inte...

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Abstract

The invention discloses an improved integral cycle fuzziness search method, relates to the satellite navigation positioning technology field and aims at a problem of the relatively large time consumption because of relatively poor floating point fuzziness solution precision existing in an SEVB algorithm in the prior art. According to the improved algorithm, through limiting the initial search space size and optimizing the calculation process, the number of ambiguity search candidate points and unnecessary redundancy calculation can be effectively reduced, thereby the search time is reduced, and ambiguity resolution efficiency is improved. Compared with the SEVB algorithm, the improved algorithm has more obvious efficiency advantages in the low precision high-dimensional ambiguity search aspect, and ambiguity resolution efficiency can be integrally guaranteed to be relatively more stable and reliable.

Description

technical field [0001] The invention relates to the technical field of satellite navigation and positioning, and more particularly to an improved search method for integer ambiguity. Background technique [0002] The fast and accurate resolution of phase integer ambiguity is the key issue of GNSS real-time high-precision positioning, and it is also a hot issue in the field of GNSS research. Among many integer ambiguity resolution methods, the search method based on Integer Least Squares (ILS) is widely used because it has the highest success rate. ILS search refers to finding a set of integer solutions that satisfy the quadratic minimum of ambiguity residuals in a given space. In order to quickly obtain this set of integer solutions, the most popular one is the SEVB algorithm based on the oscillating shrinkage strategy. Among them, the oscillating search strategy refers to the "Z-shaped" enumeration from the Bootstrap estimation point to both sides; the contraction strategy...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S19/37
CPCG01S19/37
Inventor 卢立果刘万科马立烨吴汤婷鲁铁定
Owner EAST CHINA UNIV OF TECH
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